Network World

Quantum Circuits brings dual-rail qubits to Nvidia’s CUDA-Q development platform

The Seeker quantum processor from Quantum Circuits now supports Nvidia's CUDA-Q, enabling developers to combine quantum ...
IEEE

Double Successive Over-Relaxation Q-Learning With an Extension to Deep Reinforcement Learning

Abstract: Q-learning (QL) is a widely used algorithm in reinforcement learning (RL), but its convergence can be slow, especially when the discount factor is close to one. Successive over-relaxation ...
News Medical

Deep learning algorithm uses mammograms and age for heart disease prediction

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...
IEEE

Automated Configuration of Evolutionary Algorithms via Deep Reinforcement Learning for Constrained Multiobjective Optimization

Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...
Scientific Research Publishing

Cheng, Q., Xie, R., Wu, J., & Ye, F. (2024). Deep Learning-Based Spatiotemporal Fusion Architecture of Landsat 8 and Sentinel-2 Data for 10 M Series Imagery. Remote Sensing, 16 ...

ABSTRACT: Wetlands play a critical role in water retention and supply in drainage connected regions. The Usangu wetland ecosystem contributes to recharging the Ruaha River, which is hydrologically ...
Frontiers

Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembler

Genome assembly remains an unsolved problem, and de novo strategies (i.e., those run without a reference) are relevant but computationally complex tasks in genomics. Although de novo assemblers have ...
Semiconductor Engineering

SpiNNaker2 Neuromorphic Platform: HW-Aware Fine-Tuning of Spiking Q-Networks (TU Dresden Et Al.)

A new technical paper titled “Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform” was published by researchers at TU Dresden, ScaDS.AI and Centre for Tactile ...
Frontiers

Optimization method of electric vehicle energy system based on machine learning

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...
SciELO

Deep Q Network Based Power Allocation for Uplink 5G Heterogeneous Networks

The next generation heterogeneous network (HetNet) consists of multiple technologies for the device to improve their quality of service (QoS) parameters for the ubiquitous connectivity. The key ...
Science Daily

Machine learning algorithm brings long-read sequencing to the clinic

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...
The New York Times

Alexander Steen Q&A: Blues future GM on learning from Doug Armstrong, state of the team and more

ST. LOUIS — In June 2024, the St. Louis Blues announced that Alexander Steen would be taking over the reins from Doug Armstrong as the team’s next general manager. Does it feel like it’s already been ...